Hierarchical autonomous collaboration strategy to support multiple types of resource access to distribution network

The large-scale connection of distributed resources requires the flexible control ability of distribution network to be enhanced continuously. How to make full use of multi-level flexible resources to assist system operation has become an urgent problem. Therefore，a hierarchical autonomous collaboration strategy to support multiple types of resource access to distribution network is provided in this paper. Firstly，the characteristics of flexibility resources under multi-level are analyzed，and a probabilistic model for distributed resource output to reduce the influence of its uncertainty factors is adopted. Secondly，a hierarchical zonal optimization and dispatch model is constructed for the main substation-feeder-station area. The station area layer carries out internal autonomy and passes the equivalent results to the feeder layer. The feeder layer divides the area based on the network architecture and the operating characteristics of the resources，so as to realize the main-distribution cooperative optimization taking into account the security and economy of the system，and the spectral penalty parameter based adaptive alternating direction method of multipliers （SPPA-ADMM） is used for the solving. Finally，the improved IEEE 33-node example is selected for simulation. The simulation results show that the parallel control method adopted in this paper can effectively improve the efficiency of optimization solution，which verifies that the proposed strategy has guiding significance for the operation regulation of multiple distributed resources.